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19 343 (0,219s)

Result

A comprehensive analysis of static word embeddings for Turkish

Word embeddings are fixed-length, dense and distributed word representations types of word embedding models which are non-contextual (static) models and contextual models. The former method generates a sin...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2024
  • JSC
  • Link
Result

Precomputed Word Embeddings for 15+ Languages

Word embeddings serve as an useful resource for many downstream natural language processing tasks. The embeddings map or embed the lexicon of a language onto be problematic and word embeddings provide a wa...

Computer and information sciences

  • 2021
  • D
  • Link
Result

Unsupervised Word Sense Disambiguation Using Word Embeddings

of a polysemous word in the context in which it appears. In recent years, word embeddings have embeddings to disambiguate words. In this paper, a novel unsupervised method is proposed to disambiguate ...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2019
  • D
  • Link
Result

Geographical Evaluation of Word Embeddings

Word embeddings are commonly compared either with human-annotated word a novel principle which compares the information from word embeddings with reality. We implement this principle by comparing the infor...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2017
  • D
Result

Training of Basic Word Embeddings for Czech Words

The research report deals with the training of basic word embeddings for Czech words using BERT model. The report describes in detail selected source of data, vocabulary, model, training procedure and results. This task was...

Automation and control systems

  • 2019
  • O
Result

Coupled-Tensor Generated Word Embeddings and Their Composition

Contemporary methods of computing vector-space embeddings of words are able approaches to training word vectors enabling a composition of word embeddings into n-gram that are generated by a sequence of tim...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2023
  • D
  • Link
Result

New word analogy corpus for exploring embeddings of Czech words

The word embedding methods have been proven to be very useful in many tasks of NLP (Natural Language Processing). Much has been investigated about word embeddings of English words and phrases, but only lit...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2018
  • D
  • Link
Result

Generating Phonetic Embeddings for Bulgarian Words with Neural Networks

Word embeddings can be considered the cornerstone of modern natural language understand the meaning of words. Most word embeddings model the semantics of the words. In this paper, we create phonem...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2024
  • D
  • Link
Result

Word Embeddings for Multi-label Document Classification

In this paper, we analyze and evaluate word embeddings for representation of longer texts in the multi-label document classification scenario. The embeddings of word2vec static and trainable embeddings with randoml...

Robotics and automatic control

  • 2017
  • D
  • Link
Result

An accurate transformer-based model for transition-based dependency parsing of free word order languages

static word embeddings even if the dynamic word embeddings have a vocabulary size ten times smaller than the static word embeddings. The results show that the transformer trained on dynamic w...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2024
  • Jimp
  • Link
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